Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model

The nomogram of the joint model, integrating radiomic features and clinically independent predictors, exhibits robust predictive capability for early identification of high-risk patients with a propensity for distant metastases of GC.

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Publication Details

Journal
Frontiers in Oncology
Published
2024-11-29
DOI
https://doi.org/10.3389/fonc.2024.1476340
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model

Tianwen Xu, Huibin Xue, Hang Xu, Мейли Лианг et al.
1 links
Frontiers in Oncology
Gastric Cancer Management and Outcomes
article

Development and validation of an individualized nomogram for predicting distant metastases in gastric cancer using a CT radiomics-clinical model

Tianwen Xu, Huibin Xue, Hang Xu, Мейли Лианг, Chen-Yu Wang, Aiyue Zhao
article en

Abstract

The nomogram of the joint model, integrating radiomic features and clinically independent predictors, exhibits robust predictive capability for early identification of high-risk patients with a propensity for distant metastases of GC.

Frontiers in OncologyVol. 14
Fujian Medical University (CN), Second Affiliated Hospital of Fujian Medical University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 60%
Gastric Cancer Management and Outcomes
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